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The R package rcssci offers an intuitive solution for visualizing Restricted Cubic Splines (RCS) in regression analyses. It automates the generation of spline plots for outcomes like odds ratios (OR), ...
See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...
Background Restarting direct oral anticoagulants (DOACs) after a serious bleeding event in patients with atrial fibrillation ...
Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...
Background Current guidelines for aortic valve replacement (AVR) lack consensus on prosthesis selection in middle-aged patients. This study aimed to provide a comprehensive comparison of long-term ...
Dr. James McCaffrey presents a complete end-to-end demonstration of the kernel ridge regression technique to predict a single ...
Discover how leading web design companies create future-proof websites designed to adapt to evolving technologies, from modular architectures and scalable infrastructure to AI integration and ...
BACKGROUND: Primary aldosteronism (PA), an overt form of renin-independent aldosterone production, leads to a disproportionately high rate of major adverse cardiovascular events (MACEs). Mounting ...
VanderSchaaf, C. L. (2025) Predictive Ability of Volume-Basal Area Ratios (VBARs) in Minnesota, USA Forests to Estimate ...
Longitudinal tracking of neuronal activity from the same cells in the developing brain using Track2p
This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...
In this paper, a random forest regression model with multitype predictor variables (MTVRF) was utilized with four kinds of input variables, including surface reflectance, spectral indices, terrain ...
Thus, this work presents several regression models found in scientific studies, implementing them in the form of an R package called AgroReg. The package comprises 44 analysis functions with 66 ...
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